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Research Areas
Year Published

102 Results

August 28, 2017

Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner

Very Large Data Bases Conference (VLDB)

We design and implement a distributed algorithm for balanced k-way hypergraph partitioning that minimizes fanout, a fundamental hypergraph quantity also known as the communication volume and (k − 1)-cut metric, by optimizing a novel objective called probabilistic fanout. This choice allows a simple local search heuristic to achieve comparable solution quality to the best existing hypergraph partitioners.

By: Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita
July 24, 2017

Untagging on Social Media: Who Untags, What do they Untag, and Why?

Journal: Computers in Human Behavior

Using de-identified, aggregated behavioral data from Facebook and a survey of 802 people, this paper aims to explore untagging by asking whether untagging occurs similarly to other self-presentation behavior and how people view this strategy.

By: Jeremy Birnholt, Moira Burke, Annie Steele
July 10, 2017

House Price Beliefs and Mortgage Leverage Choice

National Bureau of Economic Researcher (NBER)

We study the the relationship between homebuyers’ beliefs about future house price changes and their mortgage leverage choices.

By: Michael Bailey, Eduardo Dávila, Theresa Kuchler, Johannes Stroebel
June 22, 2017

Is smoke on your mind? Using social media to assess smoke exposure

Journal: Atmospheric Chemistry and Physics Discussions

In this work, we explore using daily social media posts from Facebook regarding smoke, haze, and air quality to assess population-level exposure for the summer of 2015 in the western US. We compare this de-identified, aggregated Facebook dataset to several other datasets that are commonly used for estimating exposure, such as satellite observations (MODIS aerosol optical depth and Hazard Mapping System smoke plumes), daily (24 h) average surface particulate matter measurements, and model-simulated (WRF-Chem) surface concentrations.

By: Bonne Ford, Moira Burke, William Lassman, Gabriele Pfister, Jeffrey R. Pierce
June 15, 2017

Formulation of Aerial Platform Environmental Requirements from Global Radiosonde Data

Journal of Unmanned Vehicle Systems

This paper demonstrates how raw observational climate data can be processed to characterize global climate histories and statistics for the formulation of aerial platform environmental requirements.

By: Jacob Stelman, Zhang Liu
May 16, 2017

Cultural Diffusion and Trends in Facebook Photographs

The International AAAI Conference on Web and Social Media (ICWSM)

Online social media is a social vehicle in which people share various moments of their lives with their friends, such as playing sports, cooking dinner or just taking a selfie for fun, via visual means, i.e., photographs. Our study takes a closer look at the popular visual concepts illustrating various cultural lifestyles from aggregated, de-identified photographs.

By: Quenzeng You, Dario Garcia, Manohar Paluri, Jiebo Luo, Jungseock Joo
April 24, 2017

Connective recovery in social networks after the death of a friend

Nature Human Behavior

Most individuals have few close friends, leading to potential isolation after a friend’s death. Do social networks heal to fill the space left by the loss? We conduct such a study of self-healing and resilience in social networks.

By: William Hobbs, Moira Burke
April 3, 2017

Detecting Large Reshare Cascades in Social Networks

International Conference on World Wide Web

In this paper, we propose SansNet, a network agnostic approach towards detecting large reshare cascades in online social networks.

By: Karthik Subbian, B. Aditya Prakash, Lada Adamic
April 3, 2017

Understanding Short-term Changes in Online Activity Sessions

World Wide Web (WWW)

Using data from the online social networking site Facebook, we uncover temporal patterns at a much smaller time scale: within individual sessions.

By: Farshad Kooti, Karthik Subbian, Winter Mason, Lada Adamic, Kristina Lerman
February 25, 2017

BARCHAN: Blob Alignment for Robust CHromatographic ANalysis

Journal of Chromatography A

In this study, we present a chromatogram and template alignment method based on peak registration called BARCHAN.

By: Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Henon, Melinda Tebib, Vincent Souchon